Proteomics reveals the hidden impact of interventions in diabetes

Watch the webinar now

ABSTRACT

Type 2 diabetes typically manifests itself in adulthood, following years of progressively worsening health status, affecting multiple biological systems, pathways and organs. But beyond measuring HbA1c, it has been difficult and expensive to measure the impact of disease and/or interventions that might impact organ damage or risk.

Large-scale proteomics is an emerging field that has recently been shown to not only capture real-time health status, but also to predict or prognose risks of future organ damage, morbidity and mortality. Proteomic models, developed from multiple large clinical and observational studies, have been utilized here to provide a holistic summary of metabolic health and risk of future adverse outcomes from individuals undergoing diabetes intervention.

In this webcast, the impact of both therapeutic (drug) and lifestyle (diet and exercise) interventions will be discussed on a host of cardiometabolic and body composition measures in subjects undergoing intervention compared to placebo or standard of care. The speakers will discuss how these proteomic models can be implemented to design more precise treatment strategies for diabetic patients, moving the field ever closer to realizing the goal of providing personalized care.

Learn:

  • What additional information broad scale proteomics can contribute to your research program
  • How newly-discovered proteomic signatures can be applied to clinical research
  • The benefits of being able to obtain raw proteomic data and clinical assessments from a single 55 µL blood sample

202001-headshots-v1-SomaLogic-02

Svati H. Shah, MD, MHS

Professor of Medicine, Director of Precision Genomics
Duke University School of Medicine

Svati H. Shah, MD, MHS, is a physician scientist and Associate Dean of Genomics and Director of Precision Genomics Collaboratory in the Duke School of Medicine; Vice-Chief of Translational Research and Director of the Adult Cardiovascular Genetics Clinic in the Division of Cardiology, Department of Medicine; Co-Director of Translational Research in the Duke Molecular Physiology Institute (DMPI); and a faculty member in the Duke Clinical Research Institute (DCRI). Her research focus is on metabolic and genetic pathways of cardiometabolic diseases, integrating diverse genomic, metabolomic and proteomic techniques for identification of novel mechanisms of disease and biomarkers.

stephen

Stephen A. Williams, MD, PhD

Chief Medical Officer, Somalogic

Steve Williams, MD, Ph.D, practiced medicine for over a decade at Charing Cross Hospital before joining Pfizer, where he became the VP and Worldwide Head of Clinical Technology. Since 2009 he has been the Chief Medical Officer at SomaLogic, where his focus has been on developing clinical tests using proteomic signatures.

202001-headshots-v1-SomaLogic-01

Naveed Sattar, FMedSci, FRCPath, FRCPGlas, FRSE

Professor of Metabolic Medicine University of Glasgow

Professor Sattar is a clinically active academic, researching the causes, prevention and management of diabetes, obesity and CVD. He has published >1,000 papers, and contributed to several guidelines and clinical trials. He has received multiple award lectures, including 2020’s EASD Camillo Golgi Prize, and is a global Highly Cited Researcher.

Share with colleagues

More webinars

WebinarHuman proteomics: from the operating room to the lab and back

Optimizing platforms for surgical specimen collection and deep human phenotyping was used to enhance protein biomarker identification using proteomic tools. A series of studies using human eye fluids has helped to diagnose inflammatory retinal disease, select personalized therapies, stage cancer, and point to new therapeutic strategies. These approaches can be broadly applied to human surgical disease.

Learn more

Webinar10 things I hate about proteomics

Dr. Williams explains in a fun - but serious - way how proteomics is revolutionizing drug discovery research and precision medicine worldwide today. He also couldn't resist telling the story about what happens when two proteins walk into a bar.

Learn more

WebinarBigger Data = Better Data: Detect 7,000 proteins at once with high throughput to optimize biomarker discovery

Learn more

Explore webinars in our interactive viewer